Python version of ANTI-FASc
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Updated
Jun 13, 2026 - Jupyter Notebook
Python version of ANTI-FASc
End‑to‑end ML pipeline that produces the first global map of land‑subsidence rates, built from 46k+ labeled points with 23 predictors, estimating >6.3 M km² affected, including 231k km² of urban/dense settlements and ~2 billion people.
Estimate incremental volume changes (erosion and deposition) along the path of a debris flow.
SEPARATE is an open-source, GUI-based software package that provides users with a fast, reliable, and automated method to post-process tipping bucket rain gauge (TBRG) data.
A custom component for Home Assistant that displays geohazard alerts from NVE (Norwegian Water Resources and Energy Directorate) and met.no. Stay informed about avalanches, floods, landslides, and other natural hazards.
Geological Hazard Detection Project based on YOLOv8
Data and code for pixel-based landslide susceptibility modelling in Huancabamba (Peru) using Random Forest and spatial block cross-validation.
GeoPrior-v3: Physics-guided AI for geohazards
DEM generation at Sedongpu Glacier (SE Tibet) for debris flow volume estimation
Multi-Hazard Risk
A framework for assessing rockfall risk for road networks
ProboSed: Bridging legacy core logs and modern machine learning. An open-source suite for probabilistic sediment characterization and nonlinear failure analysis in subduction margins.
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